干燥唾液样本中结合水的FTIR光谱分析:吸烟和非吸烟组的区分及其对口腔癌风险的影响。

IF 2.7 4区 医学 Q3 ONCOLOGY
Technology in Cancer Research & Treatment Pub Date : 2025-01-01 Epub Date: 2025-05-19 DOI:10.1177/15330338251317304
Maria Clara Coelho Ferreira, Vitórya Carvalho Pádua de Magalhães, Thayná Melo de Lima Morais, Felipe Peralta, Pedro Arthur Augusto Castro, Denise Maria Zezell, Marcelo Saito Nogueira, Luis Felipe Cs Carvalho
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引用次数: 0

摘要

背景:根据世界卫生组织,口腔癌是全球第13大最常见的癌症,烟草使用是口腔癌的主要原因之一。本研究旨在利用FTIR光谱对吸烟和非吸烟个体的唾液和结合水进行表征和区分。材料和方法:本前瞻性观察研究使用衰减全反射傅立叶变换红外光谱仪分析了对照组、吸烟组和偶尔吸烟组的干燥唾液样本。选取2800 ~ 3600 cm-¹的高波数光谱区进行分析。结果:结果表明,标准方差归一化(SNV)降低了组内变异性,并突出了吸烟者在3250-3500 cm-¹区域内光谱的差异,这与唾液分子对水的吸收有关。与基于二阶导数的模型相比,基于SNV光谱的三次支持向量机模型在组间的分类精度更高,灵敏度提高15.6%,特异性降低1.3%。rusboosting Trees解决了数据不平衡问题,提高了敏感性和特异性。研究表明,光谱变化可能反映了与吸烟和口腔癌风险有关的唾液生化反应。结论:我们的结论是,可以使用高波数的FTIR光谱分析来区分正常人和吸烟者。此外,我们证明了在控制组、吸烟组和偶尔吸烟组中结合水分子和唾液生物分子之间的关系。这项技术在阐明生物系统中的氢氧根振动方面有潜在的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FTIR Spectroscopy Analysis of Bound Water in Dried Saliva Samples: Differentiation of Smoking and Non-Smoking Groups and Implications for Oral Cancer Risk.

Background: According to the WHO, oral cancer is the thirteenth most common cancer worldwide, with tobacco use being one of the primary causes of oral cancer. This study aimed to characterize and differentiate the saliva and bound water using FTIR spectroscopy in smoking and non-smoking individuals. Materials and Methods: This prospective observational study analyzed dried saliva samples from control, smoking, and occasional smoking groups using an attenuated total reflectance Fourier Transform Infrared (ATR-FTIR) spectrometer. The high wavenumber spectral region of 2800-3600 cm-¹ was selected for analysis. Results: The results indicate that standard variance normalization (SNV) reduced intragroup variability and highlighted differences in smokers' spectra within the 3250-3500 cm-¹ region, associated with the absorption of water bound to saliva molecules. Cubic SVM models using SNV spectra demonstrated higher classification accuracy between groups, achieving 15.6% greater sensitivity and 1.3% lower specificity compared to models based on the second-order derivative. RUSBoosted Trees addressed data imbalances, enhancing both sensitivity and specificity. The study suggests that spectral changes may reflect salivary biochemistry linked to smoking and potentially to oral cancer risk. Conclusions: We conclude that differentiation between normal individuals and smokers can be achieved using high wavenumber FTIR spectral analysis. Additionally, we demonstrate the relationship between bound water molecules and salivary biomolecules in control, smoking, and occasional smoking groups. This technique has potential applications in elucidating OH vibrations within biological systems.

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来源期刊
CiteScore
4.40
自引率
0.00%
发文量
202
审稿时长
2 months
期刊介绍: Technology in Cancer Research & Treatment (TCRT) is a JCR-ranked, broad-spectrum, open access, peer-reviewed publication whose aim is to provide researchers and clinicians with a platform to share and discuss developments in the prevention, diagnosis, treatment, and monitoring of cancer.
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